Skip to content
Research Article Open access CC BY 4.0

Single-species Allometric Scaling: A Strategic Approach to Support Drug Discovery

Dipal Patel, Elizabeth Dierks

Journal of Pharmaceutical Research International · pp. 1–7 · Published 23 May 2018

10.9734/JPRI/2018/41693

Abstract

Aims: Multi-species Allometric Scaling (MSS) from at least three species have been used traditionally to predict human CL and Vss. Single-species Scaling (SSS) can be applied to predict these parameters from a single species using a fixed body weight exponent. SSS is less time- and resource-intense compared to MSS and thus appears to be a very promising method to implement in a screening strategy during the drug discovery phase. Study Design:  To evaluate SSS predictivity compared to MSS, six discovery compounds were evaluated in pharmacokinetic studies with the intravenous administration to rat, rabbit, dog, and/or cynomolgus monkey. Human CL and Vss were predicted by MSS and SSS, applying protein binding correction. Relative fold difference between these two methods was calculated to define success rate as a percent of the predictions of SSS within two- to four-fold of MSS predictions. Results: SSS showed a high success rate for human CL prediction with 67% within 2-fold and 94% within 4-fold of MSS. The success rate of human Vss prediction by SSS was also good with 61% within 2-fold and 89% within 4-fold of MSS. Conclusion: These data demonstrate the potential application of SSS to streamline the screening strategy of drug discovery programs.

Single-species scaling allometric scaling drug discovery strategy clearance volume of distribution.

Cited by 4

Predicting human half-life for insulin analogs: An inter-drug approach.

K. Bendtsen, Magnus W. H. Harder, Tine Glendorf · European journal of pharmaceutics and biopharmaceutics · 2024

Application and Impact of Human Dose Projection from Discovery to Early Drug Development

Dipal Patel, Wen-Zhan Yang, Maya P. Lipert · AAPS PharmSciTech · 2020

Predicting Human Half-Life for Insulin Analogs: An Inter-Drug Approach

Kristian M. Bendtsen, Magnus WH Harder, Tine Glendorf · 2024

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

4

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.